Interactive visualization of high density streaming points with heat-map

Chenhui Li, George Baciu, Yu Han

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Visualization of high density streaming points has become a challenge in information exploration. In this paper, we present a new pipeline for the interactive visualization of large points set. The pipeline is based on the idea that heat-map can overcome the overlapping problem in visualization of high density streaming points. Thus, we firstly define a regular streaming format for large point set which can be updated or changed continually. Based on streaming points, we use kernel density estimation to estimate the point distribution and visualize the density image. Perceptive and interactive features are also considered in our visualization. To our knowledge, our pipeline is the first work that focuses on perceptive visualization of high density streaming points. The main step of our pipeline is accelerated via GPU rendering in order to make scene of real-time interaction in visualization. We demonstrate the visual effectiveness of our pipeline on a geographical dataset of high-density streaming points.
Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Smart Computing, SMARTCOMP 2014
PublisherIEEE
Pages145-149
Number of pages5
ISBN (Electronic)9781479957118
DOIs
Publication statusPublished - 17 Feb 2014
Event2014 1st International Conference on Smart Computing, SMARTCOMP 2014 - Hong Kong, Hong Kong
Duration: 3 Nov 20145 Nov 2014

Conference

Conference2014 1st International Conference on Smart Computing, SMARTCOMP 2014
Country/TerritoryHong Kong
CityHong Kong
Period3/11/145/11/14

Keywords

  • heat-map
  • information visualization
  • large data
  • streaming points
  • visual interaction

ASJC Scopus subject areas

  • Computer Science(all)

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